On the Efficiency of Digital Back-Propagation for Mitigating SOA-Induced Nonlinear Impairments

We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats. While the classical Runge-Kutta numerical techniques provide almost ideal post-compensati...

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Veröffentlicht in:Journal of lightwave technology Jg. 29; H. 21; S. 3331 - 3339
Hauptverfasser: Ghazisaeidi, A., Rusch, L. A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.11.2011
Institute of Electrical and Electronics Engineers
Schlagworte:
Advanced modulation formats
Applied sciences
Backpropagation
Bit error rate
Circuit properties
coherent detection
Detection, estimation, filtering, equalization, prediction
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Information, signal and communications theory
Integrated optics. Optical fibers and wave guides
Mathematical model
Modulation, demodulation
nonlinear impairments
Optical and optoelectronic circuits
Optical noise
Receivers
Sampling, quantization
Semiconductor optical amplifiers
Signal and communications theory
Signal to noise ratio
Signal, noise
SOA
Telecommunications and information theory
Performance evaluation
Backpropagation
Parameter estimation
Quadrature amplitude modulation
SOA
Bit error rate
Saturation
Receiver
nonlinear impairments
Runge Kutta method
Coherent detection
Semiconductor optical amplifiers
Advanced modulation formats
Backpropagation algorithm
Digital filter
Accuracy
Channel estimation
Robustness
Sampling
Root mean square value
ISSN:0733-8724, 1558-2213
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Beschreibung
Zusammenfassung:We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats. While the classical Runge-Kutta numerical techniques provide almost ideal post-compensation when the receiver sampling time tends to zero, this accuracy diminishes quickly as we approach realistic sampling times. At rates near Nyquist, despite much reduced complexity, our proposed digital filter back propagation technique outperforms Runge-Kutta techniques in terms of root mean square (rms) residual distortion. We quantify rms residual distortion for both methods as sampling time varies. We also examine bit error performance for 16-QAM, as well as the impact of SOA saturation level. We examine robustness to imperfect channel estimation.
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2011.2165938